A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

27 July 2017

Papers citing "A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets"

31 / 131 papers shown

Title
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training Diego Granziol S. Zohren Stephen J. Roberts ODL 37 48 0 16 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi Arber Zela T. Elsken Chris Holmes Frank Hutter Yee Whye Teh OOD UQCV 18 71 0 15 Jun 2020
Multi-fidelity Neural Architecture Search with Knowledge Distillation I. Trofimov Nikita Klyuchnikov Mikhail Salnikov Alexander N. Filippov Evgeny Burnaev 32 15 0 15 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 26 31 0 14 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 30 99 0 12 Jun 2020
An Introduction to Neural Architecture Search for Convolutional Networks George Kyriakides K. Margaritis AI4CE 23 27 0 22 May 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Iterative Averaging in the Quest for Best Test Error Diego Granziol Xingchen Wan Samuel Albanie Stephen J. Roberts 10 3 0 02 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 27 66 0 01 Mar 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 42 0 09 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 41 695 0 02 Jan 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 31 144 0 02 Dec 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Bo-wen Li D. Song AAML 19 106 0 17 Nov 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 19 28 0 22 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 22 81 0 30 Sep 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 35 263 0 11 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,419 0 02 Aug 2019
A framework for the extraction of Deep Neural Networks by leveraging public data Soham Pal Yash Gupta Aditya Shukla Aditya Kanade S. Shevade V. Ganapathy FedML MLAU MIACV 27 56 0 22 May 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 29 201 0 29 Mar 2019
Class-incremental Learning via Deep Model Consolidation Junting Zhang Jie Zhang Shalini Ghosh Dawei Li Serafettin Tasci Larry Heck Heming Zhang C.-C. Jay Kuo CLL 13 333 0 19 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 17 717 0 28 Jan 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,449 0 11 Dec 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 16 9 0 21 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 21 1,994 0 10 Jul 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary Byeongho Heo Minsik Lee Sangdoo Yun J. Choi AAML 21 146 0 15 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 23 80 0 16 Mar 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 27 71 0 23 Feb 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 36 2,078 0 14 Nov 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016